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Dorsal premotor cortex of the macaque monkey participate grasp planning

机译:猕猴的背运动前皮层参与掌握计划

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Recently, some studies have demonstrated that the dorsomedial pathway is not only involved in arm reaching but also hand grasping. Grasp types can be decoded with multiunit activity (MUA) collected from dorsal premotor cortex (PMd) in dorsomedial pathway. However, these studies analyze and decode the neural activity during the whole grasp period. The precise function of PMd during the movement planning period has not been systematically investigated. In this study, neural signals were collected from a monkey's PMd by microelectrode array when it was performing a grip-specific task. With single neural activity (SUA) analysis, we found that 11.9% of neurons in PMd were selective to gestures during the planning period, which illustrated some neurons in PMd are related to planning. Furthermore, four grasp gesture types prediction were classified using support vector machines model (SVM) and k-nearest neighbor model (kNN) from neuron population activities. The results showed that the gesture classification accuracy reaching 60.8% by SVM and 63.9% by kNN. It infers that grasp planning is modulated by PMd neurons and that the PMd may play a central role in all phases of reach-to-grasp planning action.
机译:近来,一些研究表明,背伸途径不仅与手臂伸直有关,而且还与手的抓握有关。掌握类型可以用多体活动(MUA)从背部运动前皮质(PMd)的背道途径中收集来解码。但是,这些研究分析和解码了整个抓握期间的神经活动。 PMd在运动计划期间的精确功能尚未得到系统的研究。在这项研究中,当猴子执行抓地力特定任务时,通过微电极阵列从猴子的PMd中收集神经信号。通过单神经活动(SUA)分析,我们发现在计划期间PMd中11.9%的神经元对手势具有选择性,这说明PMd中的某些神经元与计划相关。此外,使用支持向量机模型(SVM)和k近邻模型(kNN)从神经元种群活动中分类了四种抓握手势类型预测。结果表明,基于SVM的手势分类准确率达60.8%,基于kNN的手势分类准确率达63.9%。它推断出掌握计划是由PMd神经元调节的,并且PMd可能在从掌握规划行动的所有阶段发挥核心作用。

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